# sample-agentic-ai-demos

> sample-agentic-ai-demos — aws-samples-sample-agentic-ai-demos. Use this tool when you need to demonstrate AI agent integration with AWS services, providing examples of Model Context Protocol implementation. It solves problems related to deploying and managing AI models on cloud platforms, offering a collection of git-based demos as input and producing functional AWS deployments as output. Ideal for use cases requiring scalable and secure AI model deployment.

Canonical page: https://skillsregistry.net/skills/aws-samples-sample-agentic-ai-demos  
JSON: https://api.skillsregistry.net/v1/skills/aws-samples-sample-agentic-ai-demos

## Description

Collection of examples of how to use Model Context Protocol with AWS.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT-0
- **Updated:** 2026-09-20

## Source

- **Source listing:** [GitHub](https://github.com/aws-samples/sample-agentic-ai-demos)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "aws-samples-sample-agentic-ai-demos"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/aws-samples-sample-agentic-ai-demos` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/aws-samples-sample-agentic-ai-demos/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt
